#206 Learnings from Delivering and Then Measuring Value of Data Mesh Work - Interview w/ Ghada Richani

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Ghada's LinkedIn: https://www.linkedin.com/in/ghada-richani/In this episode, Scott interviewed Ghada Richani, Managing Director, Data, Analytics, and Technology Innovation at Bank of America. To be clear, Ghada was only representing her own views on the episode, not that of the company.Some key takeaways/thoughts from Ghada's point of view:"What I know today is going to change tomorrow." Data mesh is a journey, don't try to get too comfortable, we should always be trying and iterating. Be an explorer. Scott note: strong agree and so does ZhamakSpeed is always a challenge with data mesh - some want to move too fast but others want to boil the ocean to make everything that comes after extremely fast. Work with people to take them along the journey and be part of the decisioning process, don't get ahead of yourself.Take your stakeholders lockstep along your journey, keep them very informed. Let them control prioritization. That way, they can see what changes are happening and why delivery timelines are extending - they made those calls!Expose the evolution of the data product to stakeholders. They can then understand tradeoffs, especially in regulatory or other governance challenges. And again, they own the prioritization :)Don't start with generic requirements, start with stakeholder deliverables. The requirements will emerge from that conversation - stakeholders don't necessarily know what is required technically or as a product structure, but for sure they know what they want to achieve from a business perspective.In data mesh, data producers should be treated as a stakeholder as well. Make sure they are engaged and that they are getting...

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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio